Purpose: For entrepreneurs operating in an Internet-of-Things (IoT) environment, it is essential to monitor more systematically, both the interaction with the consumers and the sharing of information among the consumers. The purpose of this paper is to identify the antecedents of word-of-mouth (WOM) in the online SME’s context in terms of consumers “citing the site” to peers in personal communications. A research model integrates the determinants of retail website-specific positive WOM communication, and proposes that WOM about a particular website is influenced by: site-level variables, that is, website quality and interactivity; and consumer-level variables, these being the site user’s satisfaction with and commitment to the website. The research advances the study of IoT entrepreneurship. Design/methodology/approach: Data were collected from graduate and undergraduate students with business and entrepreneurship majors from a reputed school in the Northeast region of the USA, using an online survey. The hypotheses were then tested with SEM using AMOS 18.0. Findings: Findings suggest that in an IoT context, WOM is influenced by a variety of factors of which the e-satisfaction and attitude toward website constructs play important roles. The study highlights the importance of the e-satisfaction construct and its metrics. E-satisfaction is not only a critical outcome metric, but also a primary predictor of customer e-loyalty, measured in terms of the customer’s positive attitude, stickiness and propensity to spread positive WOM. Originality/value: The paper contributes to the entrepreneurship and IoT literature with a comprehensive framework of information sharing, interactivity and WOM, showing that specific antecedents drive consumers to cite and advocate for a website to fellow customers. The framework helps retail SME entrepreneurs in the IoT context to design appropriate strategies to influence website visitors’ endorsement of the site to fellow customers.

Background: The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies’ value can only be realized by the aggregation and analysis of people’s genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. Objective: This study aimed to prove that emerging blockchain technology provides a solution for the protection and management of sensitive personal genomic data because of its decentralization, traceability, encryption algorithms, and antitampering features. Methods: This paper describes the case of a blockchain-based genomic big data platform, LifeCODE.ai, to illustrate the means by which blockchain enables the storage and management of genomic data from the perspectives of data ownership, data sharing, and data security. Results: Blockchain opens up new avenues for dealing with data ownership, data sharing, and data security issues in genomic big data platforms and realizes the psychological empowerment of individuals in the platform. Conclusions: The blockchain platform provides new possibilities for the management and security of genetic data and can help realize the psychological empowerment of individuals in the process, and consequently, the effects of data self-governance, incentive-sharing, and security improvement can be achieved. However, there are still some problems in the blockchain that have not been solved, and which require continuous in-depth research and innovation in the future.

The concept of reverse teaching, considered by some as the education model of the future due to increasing technological availability in the classroom, has received great attention in education research lately. However, the focus of these studies has mainly been on the understanding of reverse teaching in terms of its application rather than exploring the students’ perceptions of reverse teaching itself. This study explores the students’ perceptions of reverse teaching. Based on 28 in-depth interviews, this study submits a conceptualization of reverse teaching from the students’ point-of-view. The concept of reverse teaching constitutes three dimensions, expanding our knowledge of the construct. The study posits a crucial link between preparation, interaction, outcomes, and the understanding of reverse teaching. Guidelines are proposed for reverse teaching, extending existing literatures, with insights and implications for educators.

Optimal or rational decision making is not possible due to informational constraints and limits in computation capability of humans (March & Simon, 1958; March, 1978). This bounded rationality serves as a filtering process in decision making among business executives (Hambrick & Mason, 1984). In this study, we propose the concept of CEO reflective capacity as a behavior-oriented cognitive capability that may overcome to some extent the pervasive limitation of bounded rationality in executive decision-making. Following Hinkin's (1998) method and two executive samples, we developed and validated a three-dimensional measure of CEO reflective capacity. Based on two-wave surveys of CEOs and their executive-subordinates in 213 Chinese small-medium sized firms, we tested and confirmed three hypotheses on how CEO reflective capacity is related to a firm's sustainability performance (including economic, societal, and environmental dimensions) through the mediating mechanisms of strategic decision comprehensiveness and CEO behavioral complexity. We discuss the contribution of this study to the literature on the upper echelons and information processing perspectives. We also identify the implications for future research on strategic leadership and managerial cognition in complex and dynamic contexts.

Purpose: Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms. Design/methodology/approach: This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts. Findings: Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery. Research limitations/implications: This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners. Originality/value: This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.